Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Highcharts Reviews & Ratings
    123 Ratings
    Company Website
  • Harmoni Reviews & Ratings
    16 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    992 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,939 Ratings
    Company Website
  • Canva Reviews & Ratings
    19,990,620 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    541 Ratings
    Company Website
  • Grafana Reviews & Ratings
    607 Ratings
    Company Website
  • TradingView Stock Widgets Reviews & Ratings
    16 Ratings
    Company Website
  • BrandMap® 10 Reviews & Ratings
    Company Website

What is Orange?

Leverage open-source machine learning platforms and data visualization methods to construct dynamic data analysis workflows in a visually appealing manner, drawing on a diverse array of resources. Perform basic data evaluations complemented by meaningful visual representations, while exploring statistical distributions through techniques such as box plots and scatter plots; for more intricate analyses, apply decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even complex multidimensional datasets can be efficiently visualized in 2D using clever attribute selection and ranking strategies. Engage in interactive data exploration to facilitate rapid qualitative assessments, enhanced by intuitive visualizations. The accessible graphical interface allows users to concentrate on exploratory data analysis rather than coding, while smart defaults support the swift development of data workflows. Simply drag and drop widgets onto your canvas, connect them, import your datasets, and derive insightful conclusions! In teaching data mining principles, we emphasize demonstration over mere explanation, and Orange stands out in making this method both effective and enjoyable. This platform not only streamlines the process but also significantly enhances the educational experience for users across various expertise levels. By integrating engaging elements into the learning process, users can better grasp the complexities of data analysis.

What is GridRank?

GridRank is an innovative platform that revolutionizes the way decisions are made by streamlining the process into a quick and intuitive experience. Its visual ranking method is exceptionally user-friendly, enabling you to evaluate multiple options in a very short amount of time. This groundbreaking technique turns decision-making into an interactive game for both you and your colleagues, making it an enjoyable activity. As you create your game, you take on the role of Game Master, with a dashboard that allows for flexible modifications and the ability to track either individual or collective results throughout the game. Our exclusive and patent-pending ranking system is crafted for speed, enjoyment, and ease of use, allowing participants to simply drag and drop their selections onto the game board to rank them against each other. Following this, GridRank generates a visual summary that integrates all players' rankings, which is truly remarkable! Users can access straightforward graphics such as bar charts, scatter plots, and optimal choice tables, providing clarity in the data they analyze. Furthermore, you have the ability to establish specific criteria for evaluating each option and can enter as many choices as you wish, enhancing the thoroughness and effectiveness of the decision-making process. The platform is meticulously designed to maintain high levels of engagement while ensuring that the outcomes are presented with clarity and precision. Ultimately, GridRank empowers teams to make informed decisions quickly and collaboratively.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

University of Ljubljana

Company Location

Slovenia

Company Website

orange.biolab.si

Company Facts

Organization Name

Paste Group

Date Founded

2018

Company Location

United States

Company Website

www.gridrankit.com

Categories and Features

Data Mining

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Categories and Features

Decision Support

Application Development
Budgeting & Forecasting
Data Analysis
Decision Tree Analysis
Monte Carlo Simulation
Performance Metrics
Rules-Based Workflow
Sensitivity Analysis
Thematic Mapping
Version Control

Popular Alternatives

DataMelt Reviews & Ratings

DataMelt

jWork.ORG

Popular Alternatives

TiMi Reviews & Ratings

TiMi

TIMi
RATH Reviews & Ratings

RATH

Kanaries Data